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delimit_reddit_scan

Bulk scan 25+ subreddits for outreach targets, then rank and categorize them for comment drafting. Prioritized results enable chaining to drafting and ledger actions.

Instructions

Bulk scan 25+ subreddits for outreach targets (Pro).

Scans via residential proxy. Rate limited to 1 req/2sec. Returns ranked, categorized targets ready for comment drafting.

IMPORTANT -- TOOL CHAINING RULE: After scanning, the AI MUST process high_priority targets:

  1. Draft replies via delimit_social_post or delimit_notify

  2. Create ledger items for strategic opportunities via delimit_ledger_add Never just return targets and stop. Always chain to the next action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoReddit sort order (hot, new, top).hot
limitNoPosts per subreddit (default 10, max 25).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description discloses important behavioral traits: uses residential proxy, rate-limited to 1 req/2sec, returns ranked and categorized targets. This adds value beyond the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise (4 sentences), front-loaded with purpose, and includes all critical details (proxy, rate limit, chaining) without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given output schema exists, the description covers purpose, behavior, and chaining requirements. Missing prerequisite info (Pro access) but still complete for typical use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with both parameters already described. The description does not add new semantics beyond the schema, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool scans 25+ subreddits for outreach targets, specifying the verb (scan) and resource (subreddits). It also mentions 'Pro' feature, distinguishing it from basic scanning tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit tool chaining rules post-scan, instructing the AI to draft replies and create ledger items. It clearly states when to use this tool (for scanning) and what to do next, but does not compare to alternative scanning tools like delimit_scan.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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